



"""simple docstring"""





from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase  			=		logging.get_logger(__name__)

lowerCamelCase  			=		{
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}
class  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       UpperCamelCase		=	'''xlm-prophetnet'''
       UpperCamelCase		=	['''past_key_values''']
       UpperCamelCase		=	{
           '''num_attention_heads''': '''num_encoder_attention_heads''',
       }



       def __init__(				self     :    Tuple						,							_UpperCAmelCase     :    Optional[float] = 0.1						,							_UpperCAmelCase     :    Optional[Union[str, Callable]] = "gelu"						,							_UpperCAmelCase     :    Optional[int] = 30522						,							_UpperCAmelCase     :    Optional[int] = 1024						,							_UpperCAmelCase     :    Optional[int] = 4096						,							_UpperCAmelCase     :    Optional[int] = 12						,							_UpperCAmelCase     :    Optional[int] = 16						,							_UpperCAmelCase     :    Optional[int] = 4096						,							_UpperCAmelCase     :    Optional[int] = 12						,							_UpperCAmelCase     :    Optional[int] = 16						,							_UpperCAmelCase     :    Optional[float] = 0.1						,							_UpperCAmelCase     :    Optional[float] = 0.1						,							_UpperCAmelCase     :    Optional[int] = 512						,							_UpperCAmelCase     :    Optional[float] = 0.02						,							_UpperCAmelCase     :    Optional[bool] = True						,							_UpperCAmelCase     :    Optional[bool] = True						,							_UpperCAmelCase     :    Optional[int] = 0						,							_UpperCAmelCase     :    Optional[int] = 2						,							_UpperCAmelCase     :    Optional[int] = 32						,							_UpperCAmelCase     :    Optional[int] = 128						,							_UpperCAmelCase     :    Optional[bool] = False						,							_UpperCAmelCase     :    Optional[float] = 0.0						,							_UpperCAmelCase     :    Optional[bool] = True						,							_UpperCAmelCase     :    Optional[int] = 0						,							_UpperCAmelCase     :    Optional[int] = 1						,							_UpperCAmelCase     :    Optional[int] = 2						,							**_UpperCAmelCase     :    Tuple						,							)					->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_     					=				vocab_size
             UpperCAmelCase_     					=				hidden_size
             UpperCAmelCase_     					=				encoder_ffn_dim
             UpperCAmelCase_     					=				num_encoder_layers
             UpperCAmelCase_     					=				num_encoder_attention_heads
             UpperCAmelCase_     					=				decoder_ffn_dim
             UpperCAmelCase_     					=				num_decoder_layers
             UpperCAmelCase_     					=				num_decoder_attention_heads
             UpperCAmelCase_     					=				max_position_embeddings
             UpperCAmelCase_     					=				init_std  # Normal(0, this parameter)
             UpperCAmelCase_     					=				activation_function

             # parameters for xlmprophetnet
             UpperCAmelCase_     					=				ngram
             UpperCAmelCase_     					=				num_buckets
             UpperCAmelCase_     					=				relative_max_distance
             UpperCAmelCase_     					=				disable_ngram_loss
             UpperCAmelCase_     					=				eps

             # 3 Types of Dropout
             UpperCAmelCase_     					=				attention_dropout
             UpperCAmelCase_     					=				activation_dropout
             UpperCAmelCase_     					=				dropout

             UpperCAmelCase_     					=				use_cache

             super().__init__(
                 pad_token_id=_UpperCAmelCase						,							bos_token_id=_UpperCAmelCase						,							eos_token_id=_UpperCAmelCase						,							is_encoder_decoder=_UpperCAmelCase						,							add_cross_attention=_UpperCAmelCase						,							decoder_start_token_id=_UpperCAmelCase						,							**_UpperCAmelCase						,							)



       @property
       def 	lowercase__							(				self     :    int       )					->		int:


             '''simple docstring'''




             return self.num_encoder_layers + self.num_decoder_layers







       @num_hidden_layers.setter
       def 	lowercase__							(				self     :    Optional[int]						,							_UpperCAmelCase     :    List[str]       )					->		List[Any]:


             '''simple docstring'''




             raise NotImplementedError(
                 "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
                 " `num_decoder_layers`."       )





'''simple docstring'''




def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:

    def count_of_possible_combinations(UpperCamelCase__							) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        return sum(count_of_possible_combinations(target - item							) for item in array							)

    return count_of_possible_combinations(UpperCamelCase__							)






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:

    def count_of_possible_combinations_with_dp_array(
        UpperCamelCase__							,    UpperCamelCase__							) -> int:
        if target < 0:
            return 0
        if target == 0:
            return 1
        if dp_array[target] != -1:
            return dp_array[target]
        __lowerCamelCase            =    sum(
            count_of_possible_combinations_with_dp_array(target - item							,    UpperCamelCase__							)
            for item in array							)
        __lowerCamelCase            =    answer
        return answer

    __lowerCamelCase            =    [-1] * (target + 1)
    return count_of_possible_combinations_with_dp_array(UpperCamelCase__							,    UpperCamelCase__							)






def __lowerCAmelCase					(				UpperCamelCase__							,    UpperCamelCase__							,    UpperCamelCase__							)      ->       int:
    __lowerCamelCase            =    [0] * (target + 1)
    __lowerCamelCase            =    1

    for i in range(1							,    target + 1							):
        for j in range(UpperCamelCase__							):
            if i - array[j] >= 0:
                dp_array[i] += dp_array[i - array[j]]

    return dp_array[target]


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  __UpperCAmelCase					=3
  __UpperCAmelCase					=5
  __UpperCAmelCase					=[1, 2, 5]
  print(combination_sum_iv(n, array, target))
